摘要：
Variational Inference思想：用易于计算的 $Q(Z)$ 来近似后验概率 $P(Z|X)$ ，进行推理Observed variables $X$ and hidden variables $Z$, $X=\{\textbf{x}_1,...,\textbf{x}_N\}$Hidden variables include parameters and latent variables.Learning/inference involves finding: $P(Z_1,Z_2,...|X)$\[\ln P(X)=\sum_ZQ(Z) \ln P(X)=\sum_Z Q(Z) 阅读全文
摘要：
1. Introduction2. Probability Distributions3. Linear Models for Regression4. Linear Models for Classification5. Neural Networks6. Kernel Methods7. Sparse Kernel Machines8. Graphical Models9. Mixture Models and EM10. Approximate Inference11. Sampling Methods12. Coninuous Latent Variables13. Sequentia 阅读全文